Table 3. Summary of different normalization methods (i–v) compared to three different suggested normalization approaches: (A) best two of geNormPlus (miR-195-5p, miR-26b-5p) and NormFinder (miR-127-3p, miR-28-5p), (B) best one of geNormPlus (miR-26b-5p), NormFinder (miR-28-5p) and snoRNA (RNU44) and (C) best one of geNormPlus (miR-26b-5p), best two of NormFinder (miR-127-3p, miR-28-5p) and best one of snoRNA (RNU44).
miRNA | Suggested normalization approaches | Different normalization methods | ||||||
---|---|---|---|---|---|---|---|---|
(A) Best two of geNormPlus (miR-195-5p, miR-26b-5p) and NormFinder (miR-127-3p, miR-28-5p) | (B) Best one of geNormPlus (miR-26b-5p), NormFinder (miR-28-5p) and snoRNA (RNU44) | (C) Best one of geNormPlus (miR-26b-5p), best two of NormFinder (miR-127-3p, miR-28-5p) and best one of snoRNA (RNU44) | (i) geNorm Plus | (ii) Norm Finder | (iii) global mean | (iv) best 2 snoRNAs | (v) best 3 snoRNAs | |
miR-132-3p | p < 0.05 | p < 0.05 | p < 0.05 | n.s. | p < 0.05 | p < 0.05 | p < 0.05 | n.s. |
miR-146b-5p | n.s. | p < 0.05 | p < 0.05 | n.s. | p < 0.05 | p < 0.05 | p < 0.05 | p < 0.05 |
miR-155-5p | n.s. | p < 0.05 | p < 0.05 | n.s. | n.s. | p < 0.05 | p < 0.05 | n.s. |
miR-184 | p < 0.05 | p < 0.05 | p < 0.05 | p < 0.05 | p < 0.05 | p < 0.05 | p < 0.05 | p < 0.05 |
miR-21 | p < 0.05 | n.s. | n.s. | p < 0.05 | p < 0.05 | n.s. | n.s. | n.s. |
miR-708-5p | n.s. | p < 0.05 | p < 0.05 | n.s. | p < 0.05 | p < 0.05 | p < 0.05 | p < 0.05 |
Let-7c | n.s. | n.s. | p < 0.05 | n.s. | p < 0.05 | p < 0.05 | n.s. | n.s. |
p values are given for each normalization strategy. miRNAs with persistent detection of significance levels throughout different normalization methods (recommendation of (i) geNormPlus, (ii) NormFinder, (iii) global mean normalization method, (iv) two most stable snoRNAs or (v) all three snoRNAs) are bolt printed. The suggested approach B (italic letters) provides the best compromise for detection and non detection of significant differences compared to the results of five different normalization methods. n.s. non significant.